Senior P&C Data Scientist — Pricing & Modeling

Argonaut Management Services, Inc

New York (NY)

On-site

USD 112,000 - 160,000

Full time

14 days+

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Job summary

Farm Family seeks a Senior P&C Data Scientist to lead development and improvement of pricing analytics, risk segmentation, and model-driven decisions across products and locations. You will work with pricing actuaries, underwriting, claims, distribution and IT to translate business questions into actionable insights and to monitor performance over time.

The role includes mentoring junior staff, driving analytics standards, and delivering model-based recommendations to senior leadership.

Qualifications

  • Bachelor's degree in mathematics, statistics, actuarial science, computer science, data science, or related quantitative field.
  • Five years of relevant experience; master's may be considered in lieu of 1–2 years.
  • Advanced proficiency in analytical programming languages and tools (SQL, Python, R).
  • Experience with large, complex datasets and applying statistical or ML methods to real-world problems.

Responsibilities

  • Develop, refine, and maintain analytical models for P&C pricing, frequency, severity, and portfolio optimization.
  • Own pricing models and translate analytical results into actionable recommendations.
  • Collaborate with actuaries, underwriting, and IT to integrate models into pricing workflows and monitoring.

Skills

Analytical thinking
Problem solving
Communication skills
Independent work

Education

Bachelor's degree in a quantitative field
Master's degree may substitute 1–2 years experience

Tools

SQL
Python
R

Job description

Farm Family seeks a Senior P&C Data Scientist to lead development and improvement of pricing analytics, risk segmentation, and model-driven decisions across products and locations. You will work with pricing actuaries, underwriting, claims, distribution and IT to translate business questions into actionable insights and to monitor performance over time.

The role includes mentoring junior staff, driving analytics standards, and delivering model-based recommendations to senior leadership.

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